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Enjoy my reddit frens - I made a long blog post about it https://stuckincustoms.com/2022/11/01/34-crazy-photos-from-burning-man-that-dont-exist/?fbclid=IwAR24QGZngGqjhuhDNLaeY4WsxJchO48Qsqov31Y1y4mac3RjJ2Rdp8af3GQ
ā
ā
https://preview.redd.it/qvhx2blqidx91.png?width=784&format=png&auto=webp&s=98f7e1017591394d866ef34773d717d7aefac107
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This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers' abilities to drive safely and efficiently.
The post DSC Weekly 1 Nov 2022 ā Why the Future Seldom Matches Expectations appeared first on Data Science Central.
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Wearable devices are gadgets that can comfortably be worn on a body. These devices have intelligent sensors connected to the internet for collecting data. The growing partnership and collaboration for bringing AI functionalities to wearable devices provide new developments in AI wearable devices in the coming years.Ā In todayās busy schedule, people want to improveā¦Ā Read More Ā»AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning
The post AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning appeared first on Data Science Central.
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Every organization needs teamwork, and for a hybrid or digital workforce, itās even more crucial. Your company may experience low chances of expansion and success if the team dynamics are unhealthy. Interacting with coworkers in a physical office setting offers numerous opportunities to learn about one anotherās lives, discuss any problems, and plan initiatives. Youā¦Ā Read More Ā»Strategies and Examples Of Effective Team Dynamics In A Digital Workspace
The post Strategies and Examples Of Effective Team Dynamics In A Digital Workspace appeared first on Data Science Central.
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Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey, there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. In addition, many of our customers face several challenges during the model operationalization phase [ā¦]
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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. Itās an automated machine learning (AutoML) solution that eliminates the heavy lifting of handwritten ML models that requires ML expertise. Data scientists need to only provide a tabular dataset and select the target column to predict, [ā¦]
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Relentless advancement in technology is improving the decision-making capacity of humans and enterprises alike. Digitization of the physical world has accelerated the three dimensions of data: velocity, variety, and volume. This has made information more widely available than before, allowing for advancements in problem-solving. Now, with cloud-enabled democratized availability, technologies like artificial intelligence (AI) and [ā¦]
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Sponsored Post Ā Ā Ā Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8.Ā This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track.Ā The [ā¦]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
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A perpetual shower of random raindrops falls inside a three-foot metal ring Dale Durran erected outside his front door (shown above). Itās a symbol of his passion for finding order in the seeming chaos of the planetās weather.
The post Stormy Weather? Scientist Sharpens Forecasts With AI appeared first on NVIDIA Blog.
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From robots playing football to learning how to walk on the moon! This article brings the top 8 reinforcement learning innovations that shaped AI across several industries in 2022.
https://analyticsindiamag.com/what-happened-in-reinforcement-learning-in-2022/
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ServiceNow and Hugging Face have released a 3.1TB dataset of permissively licensed code in 30 programming languages. This is about 4x larger than the dataset used to train GPT-3 (though obviously ācode onlyā), and 3x the size of CodeParrot, the next largest released code dataset.
Paper: https://drive.google.com/file/d/17J-0KXTDzY9Esp-JqXYHIcy--i_7G5Bb/view
https://wandb.ai/telidavies/ml-news/reports/The-Stack-BigCode-s-New-3-TB-Dataset-Of-Permissively-Licensed-Code--VmlldzoyODY1MDUy
Hugging Face: https://huggingface.co/datasets/bigcode/the-stack
Twitter: https://twitter.com/BigCodeProject/status/1585631176353796097
Download The Stack: https://hf.co/BigCode
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
ā
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
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Github Repository: https://github.com/Sanster/lama-cleaner
ā
https://reddit.com/link/yicyvd/video/cxv0jov6d5x91/player
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I'm looking to validate my new SaaS idea so sharing the landing page to see if I can build some interest.
Kiku Labs offers a way to get Jupyter Labs with powerful compute and storage for experimenting with your data science projects. The labs are saved and restored between sessions, and you're charged based on the usage.
Feel free to ask any questions.
Please join the waiting list if you're interested in the product.
https://kikulabs.com/
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Machine learning (ML) has proven to be one of the most successful and widespread applications of technology, affecting a wide range of industries and impacting billions of users every day. With this rapid adoption of ML into every industry, companies are facing challenges in supporting low-latency predictions and with high availability while maximizing resource utilization [ā¦]
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Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker. As a business user, you get to do the following [ā¦]
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In the pursuit of superior accuracy, deep learning models in areas such as natural language processing and computer vision have significantly grown in size in the past few years, frequently counted in tens to hundreds of billions of parameters. Training these gigantic models is challenging and requires complex distribution strategies. Data scientists and machine learning [ā¦]
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A recent HBR article, āWhy Do Chief Data Officers Have Such Short Tenures?ā by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officerās (CDO) āData-to-Business Innovationā challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.
The post Leveraging Agility to Create Economies of Learning Mindset ā Part 1 appeared first on Data Science Central.
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Yes, stickers are fun and inexpensive. They can also be very helpful for some offline marketing, yes. But how in the world could they assist your web marketing campaign? We understand if those are your thoughts. Sticker printing might not be your first thought when planning your next viral campaign. But maybe it ought toā¦ā¦Ā Read More Ā»How Custom Stickers could help your Viral Marketing Campaign
The post How Custom Stickers could help your Viral Marketing Campaign appeared first on Data Science Central.
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Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.Ā
The post Challenges to Successful AI Implementation in HealthcareĀ appeared first on Data Science Central.
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any help would be really appreciated
https://github.com/openai/gym/issues/3141
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Artists deploying the critically acclaimed GeForce RTX 4090 GPUs are primed to receive significant performance boosts in key creative apps. Plus, a special spook-tober edition of In the NVIDIA Studio features two talented 3D artists and their Halloween-themed creations this week.
The post GeForce RTX 40 Series Receives Massive Creator App Benefits This Week āIn the NVIDIA Studioā appeared first on NVIDIA Blog.
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One of the biggest names in racing is going even bigger. Performance automaker Lotus launched its first SUV, the Eletre, earlier this week. The fully electric vehicle sacrifices little in terms of speed and outperforms when it comes to technology. It features an immersive digital cockpit, lengthy battery range of up to 370 miles and Read article >
The post Think Fast: Lotus Eletre Tops Charts in Driving and AI Compute Speeds, Powered by NVIDIA DRIVE Orin appeared first on NVIDIA Blog.
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Venus ransomware has been active since August 2022. The attack campaign targets Remote Desktop services. Which cybersecurity measures should you take to stay safe?
The post Cybersecurity Measures Can Protect Windows Devices From Venus Ransomware appeared first on Data Science Central.
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Low code development is getting a lot of traction. Low code platform development provides a more accessible (and typicallyĀ a graphical) interface for developing applications.
The post Low-code AI Development Could Be a Good Strategy for SMBs appeared first on Data Science Central.
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We have recently open sourced our inference acceleration library, voltaML.
ā”VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
We would love for the reddit and the open-source community to use it, give feedback and help us improve the library.
https://github.com/VoltaML/voltaML
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Data loss is a highly possible and ugly eventuality that can befall any business. But you can prevent it by backing up your information before the proverbial rainy day.
The post A Guide to Data Protection Methods appeared first on Data Science Central.
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Developers have fallen into a problem-solution loop. There is a continuous effort to solve one or another problem in the developer community. Ironically, there are so many solutions now that there is a need for another solution for the existing ones.
https://analyticsindiamag.com/could-astro-compete-with-next-js-to-become-the-next-big-framework/
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https://www.businesswire.com/news/home/20220903005014/en/Ant-Group-Makes-Trusted-AI-Solutions-More-Accessible-to-Support-Industrial-Collaboration-in-Digital-Economy
ā
They only name TuGraph. Supposedly they made their "privacy-preserving computation framework open source" but there's no name or Github link. I contacted their media guy but no response.
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I don't dress my cat in costumes because, without even trying, I know she would hate that.
But now I can use text-to-image generators like DALL-E2 to imagine what she would look like in costumes. After all, even if it never saw my cat in a robot costume
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AI Weirdness: the strange side of machine learning
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Hi all,
Ikomia API is an open source tool for building and deploying Computer Vision solutions without much effort. It's a Python library built upon a C++ core. You can mix your preferred frameworks such as OpenCV, Detectron2, OpenMMLab or YOLO with the best state-of-the-art algorithms from individual repos.
At Ikomia, we deeply believe that sharing scientific knowledge is the key to success, that's why we try to make research-based algorithms ready-to-use for developers.
Ikomia is developed by developers for developers :)
More info on our GitHub.
You can try our Google Colab on YOLOv7 here if you are interested.
Support and feedback are welcome ;)
Enjoy !
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I am looking for something similar to this dataset but with about 1000 participants. If anyone could help with some leads I would really appreciate it.
Here is the dataset that I am referring to: https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data
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While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
https://analyticsindiamag.com/is-reinforcement-learning-still-relevant/
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Sponsored Post Ā Ā Over the past few years, a lot has changed in the world of stream processing systems. This is especially true as companies manage larger amounts of data than ever before.Ā In fact, roughly 2.5 quintiliion bytes worth of data are generated every day. Manually processing the sheer amount of data that [ā¦]
The post Data Engineering for ML: Optimize for Cost Efficiency appeared first on Machine Learning Mastery.
( 10
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One of Chinaās popular battery-electric startups now has the brains to boot. NETA Auto, a Zheijiang-based electric automaker, this week announced it will build its future electric vehicles on the NVIDIA DRIVE Orin platform. These EVs will be software defined, with automated driving and intelligent features that will be continuously upgraded via over-the-air updates. This Read article >
The post Neural NETA: Automaker Selects NVIDIA DRIVE Orin for AI-Powered Vehicles appeared first on NVIDIA Blog.
( 4
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When customers walk into a Microsoft Experience Center in New York City, Sydney or London, theyāre instantly met with stunning graphics displayed on multiple screens and high-definition video walls inside a multi-story building. Built to showcase the latest technologies, Microsoft Experience Centers surround customers with vibrant, immersive graphics as they explore new products, watch technical Read article >
The post Microsoft Experience Centers Display Scalable, Real-Time Graphics With NVIDIA RTX and Mosaic Technology appeared first on NVIDIA Blog.
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This spook-tacular Halloween edition of GFN Thursday features a special treat: 40% off a six-month GeForce NOW Priority Membership ā get it for just $29.99 for a limited time. Several sweet new games are also joining the GeForce NOW library. Creatures of the night can now stream vampire survival game V Rising from the cloud. Read article >
The post Make Gaming a Priority: Special Membership Discount Hits GeForce NOW for Limited Time appeared first on NVIDIA Blog.
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This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. When both types of tasks run on the same [ā¦]
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With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China regionās top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Doing so will allow them to not only realize substantial operating savings, but also support corporate [ā¦]
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Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
( 9
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ā
Proceedings - First International Symposium on the Tsetlin Machine
Finally it is here! The proceedings of The First International Symposium on the Tsetlin Machine. Fourteen exciting papers advancing the Tsetlin machine research. Many thanks to the authors, my co-organizers, and all the supporters of the Tsetlin machine - we build this together. #democraticAI #greenAI #logicbasedAI https://ieeexplore.ieee.org/xpl/conhome/9923753/proceeding
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We are releasing Kernl under Apache 2 license, a library to make PyTorch models inference significantly faster. With 1 line of code we applied the optimizations and made Bert up to 12X faster than Hugging Face baseline. T5 is also covered in this first release (> 6X speed up generation and we are still halfway in the optimizations!). This has been possible because we wrote custom GPU kernels with the new OpenAI programming language Triton and leveraged TorchDynamo.
Project link: https://github.com/ELS-RD/kernl/
E2E demo notebooks: XNLI classification, T5 generation
Benchmarks ran on a 3090 RTX GPU, 12 cores Intel CPU, more info below
On long sequence length inputs, Kernl is most of the time the fastest inference engine, and close to Nvidia TensorRT on shortest ones. Keep in mind that Bā¦
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Hi all,
Thought it would be helpful for the people in this group on whoever is doing research and developments in speech AI.
There is free digital speech AI summit coming up where industry and research experts coming together from Google, Meta and NVIDIA to talk about latest work in research, production and open-source.
Register here (https://www.nvidia.com/en-us/events/speech-ai-summit/), if you are interested.
If you have any questions, please leave a comment and I will do my best to respond as soon as possible.
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I posted the question on StackOverflow
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Hello RL learners,
You might find this repository helpful to apply what you have been learning in the DeepMind's RL course.
ā
https://github.com/mhd-medfa/IU-Reinforcement-Learning-22-lab
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In the 2002 movie Minority Report (based on a short story by Philip K Dick), director Steven Spielberg imagined a future in which three psychics can "see" murders before they happen. Their clairvoyance allows Tom Cruise and his "Precrime" police force to avert nearly all potential homicides.
Twenty years on, in the real world, scientists and law enforcement agencies are using data mining and machine learning to mimic those psychics. Such "predictive policing", as it is called, is based on the fact that many crimesāand criminalsāhave detectable patterns.
Predictive policing has enjoyed some successes. In a case study in the US, one police department was able to reduce gun incidents by 47% over the typically gun-happy New Year's Eve. Manchester police in the UK were similarly able to prediā¦
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Note: this post was completed as part of a written work trial for Epoch.
( 8
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Today Amazon SageMaker announced the support of Grid search for automatic model tuning, providing users with an additional strategy to find the best hyperparameter configuration for your model. Amazon SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using a range of hyperparameters that you [ā¦]
( 5
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Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine learning (ML) models. It provides a pay-per-use model, which is ideal for services where endpoint invocations are infrequent and unpredictable. Unlike a real-time hosting endpoint, which is backed by a long-running instance, compute resources for [ā¦]
( 9
min )
Monitoring machine learning (ML) predictions can help improve the quality of deployed models. Capturing the data from inferences made in production can enable you to monitor your deployed models and detect deviations in model quality. Early and proactive detection of these deviations enables you to take corrective actions, such as retraining models, auditing upstream systems, [ā¦]
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In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, [ā¦]
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Thereās a new sidewalk-savvy robot, and itās delivering coffee, grub and a taste of fun. The bot is garnering interest for Oakland, Calif., startup Cartken. The company, founded in 2019, has rapidly deployed robots for a handful of customer applications, including for Starbucks and Grubhub deliveries. Cartken CEO Chris Bersch said that he and co-founders Read article >
The post Jetson-Driven Grub Getter: Cartken Rolls Out Robots-as-a-Service for Deliveries appeared first on NVIDIA Blog.
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
ā
Humanoid Environment
Fetch Environment
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
ā
Humanoid Environment
Fetch Environment
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You can read the full announcement post here: https://farama.org/Announcing-The-Farama-Foundation
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AutoPrognosis is an AutoML library for tabular data focused on survival analysis or classification tasks. The library can select optimal prediction pipelines for a given dataset and a task type and can handle data missingness using HyperImpute.
On top of that, the library provides interpretability and uncertainty information, and can be used to build end-to-end apps on top of Streamlit.
Code: https://github.com/vanderschaarlab/autoprognosis
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This video was generated with AI by 200 carefully engineered prompts, resulting in 7361 images. Let me know what you think. I am happy to answer any questions and if you want to collaborate let me know!
https://www.youtube.com/watch?v=n-qjJWc21d8
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This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take [ā¦]
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This post walks you through a few new features that make it simple to design a conversational flow entirely within Amazon Lex that adheres to best practices for IVR design related to retry prompting. We also cover how to configure a DTMF-only prompt as well as other attributes like timeouts and barge-in. When designing an [ā¦]
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As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs in deep learning. These next-generation models allow you to achieve state-of-the-art, human-like performance in the fields of natural language processing (NLP), computer vision, speech recognition, medical research, cybersecurity, protein structure prediction, and many others. For [ā¦]
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In September, Kaggle released their annual survey for the state of data science and machine learning Here are some top level findings I found interestingĀ An increasing number of data scientists are living and working in India and Japan Python and SQL remain the two most common programming skills for data scientists VSCode is nowā¦Ā Read More Ā»State of Data Science and Machine Learning: Kaggle 2022 Survey
The post State of Data Science and Machine Learning: Kaggle 2022 Survey appeared first on Data Science Central.
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Snowflake is one of the most popular cloud data warehouses today. In just one decade, the company has grown to more than 6,800 enterprise customers and $1.2 billion in annual revenue, more than double its prior year.Ā Like other cloud data warehouses, including Databricks, Amazon RedShift, and Google BigQuery, Snowflake boasts an attractive combination ofā¦Ā Read More Ā»Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data
The post Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data appeared first on Data Science Central.
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I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, Raj Yakkali, Erik Burd, and Mark Stouse amongst the many.Ā And as I like to say, āAll ideas are worthy of considerationā and I did consider all your input as Iā¦Ā Read More Ā»Data Subassemblies and Data Products Part 3 ā Data Product Dev Canvas
The post Data Subassemblies and Data Products Part 3 ā Data Product Dev Canvas appeared first on Data Science Central.
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Are you wondering how to protect your organizationās data against ransomware attacks? You have come to the right place. Avoiding ransomware isnāt a Herculean task, but before we share the specifics of how to prevent ransomware attacks, we would like to talk about what exactly ransomware attacks are.Ā What Are Ransomware Attacks? There are differentā¦Ā Read More Ā»10 Tips to Protect Your Organization Against Ransomware Attacks in 2022
The post 10 Tips to Protect Your Organization Against Ransomware Attacks in 2022 appeared first on Data Science Central.
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The future is here, and it's coming for your job. That's the claim of many pundits, who argue that artificial intelligence (AI) willā¦
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Itās a good time to be alive. Not only do we have the privilege of witnessing history in the making, but we also have access to some of theā¦
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As businesses strive to create more engaging content, many are turning to AI story generators as a way to produce high-quality contentā¦
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Testing is essential to guaranteeing success in the very cutthroat environment of the mobile app and game industry. Even if you donāt giveā¦
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This week 'In the NVIDIA Studio,' weāre highlighting 3D and motion graphics artist SouthernShotty ā and scenes from his soon-to-be released short film, Watermelon Girl.Ā
The post 3D Artist SouthernShotty Creates Wholesome Characters This Week āIn the NVIDIA Studioā appeared first on NVIDIA Blog.
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Blog post: https://fillout.com/blog/how-we-used-ai-to-improve-our-user-onboarding/
I shared Fillout last week and several of you asked how it works under the hood. Wrote this quick blog post to explain how. Let me know what you think!
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Hi,
I'd like to introduce a human segmentation toolkit called PP-HumanSeg.
This might be some help to you. Hope you enjoy it.
This toolkit has:
A large-scale video portrait dataset that contains 14K frames for conference scenes
Portrait segmentation models that achieve SOTA performance (mIoU 96.63%, 63 FPS on mobile phone)
Several out-of-box human segmentation models for real scene
Github: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg
ā
https://i.redd.it/qldxzglroqv91.gif
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In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. This analysis assists you in validating textual features for correctness and uncovering invalid rows for repair or omission. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from [ā¦]
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In the past decade, we have seen Deep learning (DL) science adopted at a tremendous pace by AWS customers. The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. [ā¦]
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I have developed a framework named AIJack to simulate various attacks against machine learning models, mainly based on PyTorch and sklearn. I have implemented more than 20 algorithms, such as Model Inversion, Poisoning Attack, Evasion Attack, Federated Learning, Split Learning, Differential Privacy, and Homomorphic Encryption. I am looking forward to your feedback!
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Sensor AI solutions specialist SenSen has turned to the NVIDIA Jetson edge AI platform to help regulators track heavy vehicles moving across Australia. Australiaās National Heavy Vehicle Regulator, or NHVR, has a big job ā ensuring the safety of truck drivers across some of the worldās most sparsely populated regions. Theyāre now harnessing AI to Read article >
The post Keep On Trucking: SenSen Harnesses Drones, NVIDIA Jetson, Metropolis to Inspect Trucks appeared first on NVIDIA Blog.
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 100 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 20 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
ā
[UPDATE] ill pay 100 DOLLARS!
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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https://blog.tensorflow.org/2022/10/building-the-future-of-tensorflow.html
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Blockchain is a method for storing data that makes it harder to hack the system. The business blockchain is a distributed, encrypted database that its authorized users can only alter. Users have a complete say over how other users view data and what actions can be taken by other users within the network.
The post How Businesses can boost Revenue Using Blockchain Technology appeared first on Data Science Central.
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Banks and financial institutions offer great value and convenience to their end users. However, they are notorious for being susceptible to fraudulent attacks such asĀ credit card identity theft. A lot has been done in adding layers of security to an individualās banking experience.
The post How RFID Technology is Applied in Banks and Financial Institutions appeared first on Data Science Central.
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txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. A full-fledged vector search application can be created with a couple lines of code. There are also almost 40 example notebooks covering many different use cases.
5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to drive topic models.
GitHub | Release Notes | Docker Hub | Examples
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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I just also want to know how someone can believe that this thing is real. There's literally 5 different youtube channels doing the same thing and wanted to know what the engine they're using is.
ā
youtube video: He Mastered All Elements And Overpowered The Gods - YouTube
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The Biden administration has launched a new workforce development funding program to help people, including those at community colleges, gain skills for emerging jobs in fields like AI, biotechnology, quantum science and new areas of advanced manufacturing and semiconductor.
Forbes article talks about how the program could scale AI education at new education and training providers where its not currently common like community colleges. Talks about Intel's work to get AI at community colleges in all 50 states by next year
https://www.forbes.com/sites/shalinjyotishi/2022/10/20/biden-administration-launches-new-workforce-program-for-emerging-technology-jobs
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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Hi,
I'd like to introduce EISeg , an efficient and interactive tool for segmentation annotation.
Hope this be some help for you š
Main Features:
You only need several clicks to finish annotation, improving the efficiency by 10 times
Support image and video as inputs
Provide specialized models for better performance , such as portrait, remote sensing, medical treatment, etc
Open-source, easy-to-use and powerful
Download: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/EISeg
Technical article: https://arxiv.org/abs/2210.08788
https://i.redd.it/1stngunj55v91.gif
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Hello there, I hope you all are doing well. I am AI research Engineer who has been working in the AI industry for almost two years now. I am also a Teacher Assistant at the university I graduated from. I had lots of work in NLP and some in CV, but quite a few in RL. Therefore, I want to push myself and work in the research field, specifically in RL. I will attach my Resume here. So that if you are interested in having strong soul, hard working guys in your team, please let me know!
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Halloween special š»
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Posted by Wenhao Yu, Research Scientist, Robotics at Google, and Kuang-Huei Lee, Research Engineer, Google Research, Brain team
Evolution strategy (ES) is a family of optimization techniques inspired by the ideas of natural selection: a population of candidate solutions are usually evolved over generations to better adapt to an optimization objective. ES has been applied to a variety of challenging decision making problems, such as legged locomotion, quadcopter control, and even power system control.
Compared to gradient-based reinforcement learning (RL) methods like proximal policy optimization (PPO) and soft actor-critic (SAC), ES has several advantages. First, ES directly explores in the space of controller parameters, while gradient-based methods often explore within a limited actioā¦
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Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time to fully collect, analyze, and experiment with image streams at the level you need in order to compete in the current marketplace. Even after youāve successfully collected data, you still have [ā¦]
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Amazon SageMaker and SageMaker inference endpoints provide a capability of training and deploying your AI and machine learning (ML) workloads. With inference endpoints, you can deploy your models for real-time or batch inference. The endpoints support various types of ML models hosted using AWS Deep Learning Containers or your own containers with custom AI/ML algorithms. [ā¦]
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This week vincentfunart and retromanni discuss how they collaborate to create some amazing art
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Step-by-step walkthrough on lip-syncing with Wav2Lip
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GeForce NOW expands touch control support to 13 more games this GFN Thursday. That means itās easier than ever to take PC gaming on the go using mobile devices and tablets. The new āMobile Touch Controlsā row in the GeForce NOW app is the easiest way for members to find which games put the action Read article >
The post Get in Touch With New Mobile Gaming Controls on GeForce NOW appeared first on NVIDIA Blog.
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Sponsored Post Ā Ā Apply now to join Dr. Kirk Borneās live interactive course, starting on November 28.Ā Explore Machine Learning Live with hands-on labs and real world applications with Dr. Kirk Borne, ex-NASA Scientist and former Principal Data Scientist at Booz Allen Hamilton. He was also a professor of Astrophysics and Computational Science at [ā¦]
The post Interactive Machine Learning Live Course with Dr. Kirk Borne appeared first on Machine Learning Mastery.
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There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran. This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter todayās guest and his company Tarteel, a member of the Read article >
The post How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation appeared first on NVIDIA Blog.
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Hi, my name is Lex Fridman. I host a podcast. I'm talking to Andrej Karpathy on it soon. To me, Andrej is one of the best researchers and educators in the history of the machine learning field. If you have questions/topic suggestions you'd like us to discuss, including technical and philosophical ones, please let me know.
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Blog post
This uses a nice dataset by /u/gwern, and trains a decent latent-diffusion-based model from scratch, with several orders of magnitude less compute than Stable Diffusion (although anime-only, but it is better than Stable Diffusion on anime pictures).
FWIW, a self-hosted demo (I tried to restrict it to produce only safe samples)
It runs via Gradio proxy, so it is flaky and unstable at times, but works after some retries. I'll keep it running for the next several days.
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Text-Based Real Image Editing
Code: https://github.com/ShivamShrirao/diffusers/tree/main/examples/imagic
Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/imagic/Imagic_Stable_Diffusion.ipynb
Still need to play around and tune the parameters a bit, may not work as is on every subject. Hopefully everyone can try it out now.
Input Image
A photo of Barack Obama smiling with a big grin.
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Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud and abuses in online systems are also on the rise. To combat online fraud, many businesses have been using rule-based fraud detection systems. However, traditional fraud detection systems rely on a [ā¦]
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R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, [ā¦]
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As machine learning (ML) goes mainstream and gains wider adoption, ML-powered applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models. These models can be sequentially combined to perform various tasks, such as preprocessing, data transformation, model selection, inference [ā¦]
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Hello everyone!
What do you guys think are the most promising approaches to tune hyperparameters for training environments using standard algorithms like PPO, SAC or similar? Many papers that I come across still conduct trial-and-error or run grid searches.
As far as I know CleanRL implements TPE. Also, I'm wondering if F-Race is considerable.
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Paper: https://dl.acm.org/doi/10.1145/3503161.3548287
Project Page: https://roychowdhuryresearch.github.io/ODMO_ACMMM2022/
Github: https://github.com/roychowdhuryresearch/ODMO
ā
ā
https://reddit.com/link/y7jdz4/video/rqdi20lntmu91/player
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Recessions, it has been said, are typically only visible in a rear-view mirror. In theory, we are in a recession when the economy shrinks over two quarters. In practice, however, not all recessions are the same.
The post DSC Weekly 18 October 2022 ā How the Pandemic Created a Time Warp appeared first on Data Science Central.
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Representation of data using graphics such as charts, plots, infographics, heat maps, bubble clouds, scatter plots, mekko charts, animation, etc., is termed data visualization. Such visual displays and representation of information help communicate complex data relationships and data-driven insights in a way that makes it easy to understand and base decisions on.
The post How Data Visualization is Essential for the Banking and Finance Sector appeared first on Data Science Central.
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This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education and professional experience, as well as recent activity. This list is in alphabetical order. Kirk Borne. Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist. Bigā¦Ā Read More Ā»Machine Learning Superstars: The Top 30 Influencers To Follow in 2023
The post Machine Learning Superstars: The Top 30 Influencers To Follow in 2023 appeared first on Data Science Central.
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As an application domain for IoT, smart cities initially showed promise but have struggled over the last decade. However, Smart islands (instead of smart cities) may be good for the success of the Internet of Things.
The post Drone-based IoT Connect Smart Islands appeared first on Data Science Central.
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Hi, there! My team prepared the report on what customers love and hate about customer service chatbots. Together with our project managers, and marketers we analyzed data of thousands of conversations with real users, and made thi reserach with insigts, stats and recommendations on how to overcome struggels.
This research would be helpful for:
Companies that have a chatbot that isn't performing well and they don't know why
Companies who want to implement a chatbot but are unsure about the best ways of creating a chatbot.
Important things!
Here're more details about our research:
Use case: Customer support
Platform: Website
Language: English
Locations: Europe, USA
Industries: E-commerce, Retail, Retail health
ā
Here's the link to the general article on the best chatbot practices and there you'll find the research.
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Learn about how AI is used to identify pills with issues before they get to youā¦
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the PokƩmon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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Speeding adoption of enterprise AI and accelerated computing, Oracle CEO Safra Catz and NVIDIA founder and CEO Jensen Huang discussed their companiesā expanding collaboration in a fireside chat live streamed today from Oracle CloudWorld in Las Vegas. Oracle and NVIDIA announced plans to bring NVIDIAās full accelerated computing stack to Oracle Cloud Infrastructure (OCI). It Read article >
The post NVIDIA, Oracle CEOs in Fireside Chat Light Pathways to Enterprise AI appeared first on NVIDIA Blog.
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Meta today announced its next-generation AI platform, Grand Teton, including NVIDIAās collaboration on design. Compared to the companyās previous generation Zion EX platform, the Grand Teton system packs in more memory, network bandwidth and compute capacity, said Alexis Bjorlin, vice president of Meta Infrastructure Hardware, at the 2022 OCP Global Summit, an Open Compute Project Read article >
The post Metaās Grand Teton Brings NVIDIA Hopper to Its Data Centers appeared first on NVIDIA Blog.
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Editorās note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. In the coming weeks, weāll be deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically Read article >
The post Adobe MAX Kicks Off With Creative App Updates and 3D Artist Anna Natter Impresses This Week āIn the NVIDIA Studioā appeared first on NVIDIA Blog.
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Vehicle appraisals are getting souped up with a GPU-accelerated AI overhaul. ProovStation, a four-year-old startup based in Lyon, France, is taking on the ambitious computer-vision quest of automating vehicle inspection and repair estimates, aiming AI-driven super-high-resolution stations at businesses worldwide. It recently launched three of its state-of-the-art vehicle inspection scanners at French retail giant Carrefourās Read article >
The post Souped-Up Auto Quotes: ProovStation Delivers GPU-Driven AI Appraisals appeared first on NVIDIA Blog.
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We have previously seen how to train the Transformer model for neural machine translation. Before moving on to inferencing the trained model, let us first explore how to modify the training code slightly to be able to plot the training and validation loss curves that can be generated during the learning process.Ā The training and [ā¦]
The post Plotting the Training and Validation Loss Curves for the Transformer Model appeared first on Machine Learning Mastery.
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Lately, I have been getting many questions from folks who donāt have an engineering or computer science background, especially womenā¦
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Predicting the Telecom Customer Churn.
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AI and ECM technologies are already having a big impact on education these days, and that impact is only going to keep growing in theā¦
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Studying usersā behavior and understanding their sentiments have become substantial to businesses with the increasing platforms operatingā¦
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Today, Amazon SageMaker Canvas introduces the ability to use the Quick build feature with time series forecasting use cases. This allows you to train models and generate the associated explainability scores in under 20 minutes, at which point you can generate predictions on new, unseen data. Quick build training enables faster experimentation to understand how [ā¦]
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Exploratory data analysis (EDA) is a common task performed by business analysts to discover patterns, understand relationships, validate assumptions, and identify anomalies in their data. In machine learning (ML), itās important to first understand the data and its relationships before getting into model building. Traditional ML development cycles can sometimes take months and require advanced [ā¦]
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the PokƩmon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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All audio credits to TrollPhace!
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The world is watching the war Russia is waging against the Ukrainians. Most of it applauds how the Ukrainians adapt to a rapidly evolving environment and occasionally prevail.Ā This article describes how the Ukrainianās agility serves them quite well in the conflict.
The post Ukrainian Success Through the Lens of Agile appeared first on Data Science Central.
( 24
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A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.
The post Data Management as a Business Discipline ā Part 3: Enabling Frameworks appeared first on Data Science Central.
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Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.
The post What is trustable data? Why do you need it? appeared first on Data Science Central.
( 20
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Adam Petway, strength and conditioning coach for the University of Louisville, is using his MIT Professional Education training to improve player performance off the court.
( 7
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Founded more than 91 years ago in Seattle, John L. Scott Real Estateās core value is Living Life as a ContributionĀ®. The firm helps homebuyers find and buy the home of their dreams, while also helping sellers move into the next chapter of their home ownership journey. John L. Scott currently operates over 100 offices [ā¦]
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Founded more than 91 years ago in Seattle, John L. Scott Real Estateās core value is Living Life as a ContributionĀ®. The firm helps homebuyers find and buy the home of their dreams, while also helping sellers move into the next chapter of their home ownership journey. John L. Scott currently operates over 100 offices [ā¦]
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I experimented with RL after college and threw together a tic-tac-toe program based on a section in the Sutton and Barto text. I eventually implemented an evolutionary algorithm to generalize from a small number of states. I apologize for the messiness of the code. I put this together during the free time I had between graduating and starting my job (I was actually on a plane the last time I worked on this). I just wanted make a post in case someone finds anything interesting in my approach. The repo can be found here.
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As a civil engineer, Scott Ashford used explosives to make the ground under Japanās Sendai airport safer in an earthquake. Now, as the dean of the engineering college at Oregon State University, heās at ground zero of another seismic event. In its biggest fundraising celebration in nearly a decade, Oregon State announced plans today for Read article >
The post AI Supercomputer to Power $200 Million Oregon State University Innovation Complex appeared first on NVIDIA Blog.
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I saw this post on r/MachineLearning about fine-tuning StableDiffusion on a custom dataset and decided to have a go. From a previous project, I had a dataset of images of Mobile Suits (i.e humanoid mechas) from the anime franchise Mobile Suit Gundam.
Project: https://github.com/Askannz/gundam-stable-diffusion (see there for code&data)
Some fun results: https://imgur.com/a/1Bg1Lyy
Colab demo: https://colab.research.google.com/drive/11Bdkub4OGtMNdSlMKx4fklB5LAtFFVpG
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A considerable percentage of new apps in the Google App store are removed for violating the store's guidelines. This is inconvenient for the users of these apps, who may lose their in-app data. Computer scientists from the University of Groningen have devised two machine learning models that can predict the chances of a new app being removed, both before and after uploading it to the app store. These models can help both developers and users. The details of this project are described in a paper that was published in the journal Systems and Soft Computing on Sept. 29.
The Google Play store has set rules and requirements that developers must adhere to. After being submitted, apps are immediately uploaded to the store, but it takes Google some time to vet them before they remove apps that arā¦
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A couple of days ago, Stability AI āinfiltratedā the r/StableDiffusion community, banned some of the users, kicked out the moderators and took over the subreddit
https://analyticsindiamag.com/when-stability-ai-went-rogue-on-reddit-rampage%ef%bf%bc/
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Amazon SageMaker multi-model endpoint (MME) enables you to cost-effectively deploy and host multiple models in a single endpoint and then horizontally scale the endpoint to achieve scale. As illustrated in the following figure, this is an effective technique to implement multi-tenancy of models within your machine learning (ML) infrastructure. We have seen software as a [ā¦]
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This post was co-written with Tobias Wenzel, Software Engineering Manager for the Intuit Machine Learning Platform. We all appreciate the importance of a high-quality and reliable machine learning (ML) model when using autonomous driving or interacting with Alexa, for examples. ML models also play an important role in less obvious waysātheyāre used by business applications, [ā¦]
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Amazon Neptune ML is a machine learning (ML) capability of Amazon Neptune that helps you make accurate and fast predictions on your graph data. Under the hood, Neptune ML uses Graph Neural Networks (GNNs) to simultaneously take advantage of graph structure and node/edge properties to solve the task at hand. Traditional methods either only use [ā¦]
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If youāre like most people, you probably think that only highly intelligent people are capable of being creative. But as it turns out, thisā¦
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(Unlocked bonus post - longggg bonus post!)
What does DALL-E2 generate when I ask it for the most popular Halloween candy of each US state?
Each prompt is included in the picture's caption - you can see that after a while I started varying it a bit, first
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Hi,
I run a startup with three other founders and I have a problem that machine learning and OCR (optical character recognition) would solve. But we are stretched thin and it has been a few years since my CTO - a software architect with nearly 40 years experience - worked on anything similar, so we are unsure if this exercise would pull us away from our core focus too much.
That is why we are looking for someone who is interested in taking on this problem as a project. This is a bounded problem, meaning it is very achievable. We just don't know how long it would take. We are willing to offer equity as part of an model called restricted stock units, so if we are commercially successful you would have a signed agreement from us to claim a nominal amount of shares.
The Problem
This is a sā¦
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I made a website for a PoC, but currently its not really working well
especially for those images that have some human-like brush styles
https://www.illuminarty.ai/
This started off as a pure hobby based but I started getting a bit of some traction from the art communities (mainly anime), now I am seriously considering if I should start spending more time on this but I lack brain cells
is anyone here interested in this topic? do you think this would be of any use?
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If you're looking for some of the interesting AI chatbot use cases with examples, it's a quick read:
https://www.haptik.ai/blog/conversational-ai-in-apac?utm_source=website&utm_medium=blog&utm_campaign=conversationalAI&utm_content=read+more
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You must have come across matrix multiplication in school textbooks. But did you know how relevant it is in every aspect of our daily lives, from processing images on our phones and recognising speech commands to generating graphics for computer games?
https://analyticsindiamag.com/why-solving-for-efficiency-of-matrix-multiplication-such-a-big-deal-in-computing/
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Amazon SageMaker Pipelines is a continuous integration and continuous delivery (CI/CD) service designed for machine learning (ML) use cases. You can use it to create, automate, and manage end-to-end ML workflows. It tackles the challenge of orchestrating each step of an ML process, which requires time, effort, and resources. To facilitate its use, multiple templates [ā¦]
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If you have searched for an item to buy on amazon.com, you have used Amazon Search services. At Amazon Search, weāre responsible for the search and discovery experience for our customers worldwide. In the background, we index our worldwide catalog of products, deploy highly scalable AWS fleets, and use advanced machine learning (ML) to match [ā¦]
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When it comes to reimagining the next generation of automotive, NIO is thinking outside the car. This month, the China-based electric vehicle maker introduced its lineup to four new countries in Europe ā Denmark, Germany, the Netherlands and Sweden ā along with an innovative subscription-based ownership model. The countries join NIOās customer base in China Read article >
The post Hello, World: NIO Expands Global Footprint With Intelligent Vehicle Experiences appeared first on NVIDIA Blog.
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NVIDIA and Oracle are teaming to make the power of AI accessible to enterprises across industries. These include healthcare, financial services, automotive and a broad range of natural language processing use cases driven by large language models, such as chatbots, personal assistants, document summarization and article completion. Join NVIDIA and Oracle experts at Oracle CloudWorld, Read article >
The post Learn How NVIDIA Advances AI for Enterprises, at Oracle CloudWorld appeared first on NVIDIA Blog.
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Alien invasions. Gritty dystopian megacities. Battlefields swarming with superheroes. As one of Hollywoodās top concept artists, Drew Leung can visualize any world you can think of, except one where AI takes his job. He would know. Heās spent the past few months trying to make it happen, testing every AI tool he could. āIf your Read article >
The post Press Art to Continue: New AI Tools Promise Art With the Push of a Button ā But Reality Is More Complicated appeared first on NVIDIA Blog.
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High-end PC gaming arrives on more devices this GFN Thursday. GeForce NOW RTX 3080 members can now stream their favorite PC games at up to 1600p and 120 frames per second in a Chrome browser. No downloads, no installs, just victory. Even better, NVIDIA has worked with Google to support the newest Chromebooks, which are Read article >
The post GeForce NOW Streams High-Res, 120-FPS PC Gaming to Worldās First Cloud Gaming Chromebooks appeared first on NVIDIA Blog.
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"On average, across 4 NLP tasks and 10 attention types, single layer wide models perform 0.3% better than their deep counterparts"
Discussions of some wide attention results
https://twitter.com/andrey_kurenkov/status/1579474438822985728
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All you have to do is input a YouTube video link and get a video with subtitles (alongside with .txt, .vtt, .srt files).
Whisper can translate 98 different languages to English. If you want to give it a try;
Link of the app: https://huggingface.co/spaces/BatuhanYilmaz/Auto-Subtitled-Video-Generator
ā
https://reddit.com/link/y2cpjc/video/oiac58arcft91/player
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I would like you to give me your opinion and also tell me what could be improved. The video explains in detail the explainable artificial intelligence technique, LIME. The video derives from my bachelor's thesis. Thank you!
Understanding LIME | Explainable AI
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The age of electric vehicles has arrived and, with it, an entirely new standard for premium SUVs. Polestar, the performance EV brand spun out from Volvo Cars, launched its third model today in Copenhagen. With the Polestar 3, the automaker has taken SUV design back to the drawing board, building a vehicle as innovative as Read article >
The post Large and Fully Charged: Polestar 3 Sets New Standard for Premium Electric SUVs appeared first on NVIDIA Blog.
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This week 'In the NVIDIA Studio' creators can now pick up the GeForce RTX 4090 GPU, available from top add-in card providers including ASUS, Colorful, Gainward, Galaxy, GIGABYTE, INNO3D, MSI, Palit, PNY and ZOTAC, as well as from system integrators and builders worldwide.
The post GeForce RTX 4090 GPU Arrives, Enabling New World-Building Possibilities for 3D Artists This Week āIn the NVIDIA Studioā appeared first on NVIDIA Blog.
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Original tune melody is a slide guitar. The AI changed that to a human-like voicing.
The AI version is a rough cut but eq and processing cleaned it up a bit.
The AI created whispers throughout as well as changing the slide guitar.
Original
https://soundcloud.com/iamlazerkat/lost-in-the-fabric-of-space-time
AI
https://soundcloud.com/iamlazerkat/ai-voiced-lost-in-the-fabric-of-space-time
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For decades, making a machine fully capable of learning by observing its environment has been the biggest dream for many researchers. Though methods like supervised or reinforcement learning have made huge advancements, there is a lot of speculation if they are the right way forward.
https://analyticsindiamag.com/yann-lecuns-version-of-autonomous-machine-intelligence/
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A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents. How to extract information accurately and process them flexibly is [ā¦]
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ā
More info at https://outsystems-ai-reading-group.github.io/
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Absolute beginner in model deployment here, looking to build an API endpoint to this model specifically. Most articles I found online are either too simplistic (docker+fastAPI, which is known be very slow for inference from transformers), or they are so complex that it goes over the top of my head.
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Climate Change, as an extension or corollary Energy Transitions, is undoubtedly one of the most critical issues that merit urgent and serious attention from policymakers, scientists, and governments across the globe. However, before looking for solutions, it is equally important to define and frame the problem in the most realistic and unbiased way to ensure the holistic nature of the solution(s).
The post Energy Transitions: We Need To Redefine the Problem and Reframe the Narrative appeared first on Data Science Central.
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In Part 1 of the āBuilding Blocks for Modern Data Managementā, I explored two important modern data management concepts:Ā Data Subassemblies and Data Products (Figure 1). Data Subassemblies are the packaging and pre-wiring of data and its supporting accouterments (e.g., enriched metadata, data access methods, data governance policies and procedures, data access security protocols, dataā¦Ā Read More Ā»Data Subassemblies and Data Products Part 2: Economics and Journey Maps
The post Data Subassemblies and Data Products Part 2: Economics and Journey Maps appeared first on Data Science Central.
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The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications - especially in deep learning and image processing.
The post AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science appeared first on Data Science Central.
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Use cases for ML are seemingly infinite, from automatic responses to queries and automated stock trading, to recommendation engines and customer experience enhancements
The post Declarative Machine Learning Alone isnāt Enough for the Data Science Community appeared first on Data Science Central.
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Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose the correct category for every issue. A manual error or misclassification of a ticket usually means a delay in resolving the IT service request. This can result in reduced productivity, a decrease in customer satisfaction, [ā¦]
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This article is part of a series please read The Marvellous Link first to get a better understanding.
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Automatic subtitle translate and dubbing on YouTube from English to Russian using computer vision
medium article: https://medium.com/@wb-08/automatic-subtitles-dubbing-on-youtube-using-computer-vision-35ad776ffe18
github repo: https://github.com/wb-08/SubVision
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In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. GrabDefence (GD), Grabās proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GDās device intelligence [ā¦]
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Automated outbound calls are the preferred method of interaction with clients. We have all received an automated call and they will try to sell us something. When handled properly, these calls can enhance customer experience and boost productivity at your company. All you require is the appropriate outbound automated calling solution. These tools take everyā¦Ā Read More Ā»How Automatic Outbound Calling is Important for Small Businesses
The post How Automatic Outbound Calling is Important for Small Businesses appeared first on Data Science Central.
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Source: Unsplash When starting any business, the first step is to create a business plan. A business plan is a document that outlines your business goals and how you plan to achieve them. For a coworking space, you will want to focus on specific aspects of your business when creating your plan. This blog postā¦Ā Read More Ā»How to write a profitable business plan for a coworking business
The post How to write a profitable business plan for a coworking business appeared first on Data Science Central.
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Back in 2018, BERT got people talking about how machine learning models were learning to read and speak. Today, large language models, or LLMs, are growing up fast, showing dexterity in all sorts of applications. Theyāre, for one, speeding drug discovery, thanks to research from the Rostlab at Technical University of Munich, as well as Read article >
The post Beyond Words: Large Language Models Expand AIās Horizon appeared first on NVIDIA Blog.
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Evaluation is a main part for any project, in Biometric system there are a some special evaluation parts used for security reasons andā¦
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I am trying to calculate the Syntactic divergence for my private Question Answering dataset, but I couldn't find any good implementation or explanation on how to do it in Python.
While Searching, I found This [GitHub script][1] and [this script][2] but couldn't understand the code. Could someone provide a neat example in Python of how to calculate the Syntactic divergence for a custom question-answering dataset?
[1]: https://github.com/Lallivero/qna/blob/master/src/analysis/qa_analysis.py
[2]: https://github.com/Lallivero/qna/blob/10c1106b019dcf0536785db0556f98241da04119/src/dataset_stat/analyze_dep_path.py
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Using Red Hat OpenShift Data Science to create a fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models in the public cloud before deploying in production.
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We have arrived at a point where we have implemented and tested the Transformer encoder and decoder separately, and we may now join the two together into a complete model. We will also see how to create padding and look-ahead masks by which we will suppress the input values that will not be considered in [ā¦]
The post Joining the Transformer Encoder and Decoder Plus Masking appeared first on Machine Learning Mastery.
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Hi r/reinforcementlearning
I wrote a short blog post about the recent paper on Matrix Multiplication. I curate some expert opinions from twitter and give a breakdown of the Tensor trick used in the paper.
https://sudeepraja.github.io/MatrixMultiplication/
I appreciate all corrections and feedback.
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Hi r/MachineLearning
I wrote a short blog post about the recent paper on Matrix Multiplication. I curate some expert opinions from twitter and give a breakdown of the Tensor trick used in the paper.
https://sudeepraja.github.io/MatrixMultiplication/
I appreciate all corrections and feedback.
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singularity - is a hypothetical point in time at which technological growth will become radically faster and uncontrollable, resulting in unforeseeable changes to human civilization .
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Last week we launched a Kaggle competition on imputing missing data https://www.kaggle.com/competitions/genentech-404-challenge/overview. The challenge: handling different data missingness patterns in an automatic way.
The development data consisting of a complete tabular dataset along with three missingness masks meant to simulate different patterns of missing data.
Two test sets are released and each test set has a different, unspecified missingness mechanism. The public leaderboard includes 20% of each test set and the private leaderboard includes the remaining 80% of each test set.
Hope everyone has a great weekend.
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The problem: https://i.imgur.com/mTsrpYM.png
The problem's question: https://i.imgur.com/qX6xmyi.png
I have no idea how to go about this. How do I go about constructing an admissible heuristic for this sliding tile game problem?
Please let me know how and how to go about with the explanation. I'm a bit confused here. Guidance would be appreciated, thanks.
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Posted it on stackexchange, I might as well post the link here in case someone has had a similar experience:
https://ai.stackexchange.com/questions/37288/tensorflow-set-weights-and-get-weights-are-too-slow
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If you're wondering about this, come and participate in two amazing weeks (21 Oct ~ 5 Nov) of Quantum hackathon HAQS with code, workshops, fun and prizes, organized by qBraid which will consist of a leaderboard for a Quantum Machine Learning challenge. Save your spot here: https://account.qbraid.com/haqs
https://preview.redd.it/vetyrpx7x8s91.png?width=1080&format=png&auto=webp&s=02f5aeb767b2ddfe4a3efb8dfc2e00896c1bade7
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Video demo: https://www.youtube.com/watch?v=qy2MrNhsoIs
Project page: https://github.com/Aubrey-ao/HumanBehaviorAnimation
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Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.
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Synamedia is a leading video technology provider addressing the needs for premium video service providers and direct-to-consumer (D2C) with a comprehensive solution portfolio. Synamedia solutions spread across several pillars such as video networks, TV platforms, advertisement and monetization, and content protection and piracy disruption. Synamedia partnered with AWS to use artificial intelligence (AI) to develop [ā¦]
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Model training forms the core of any machine learning (ML) project, and having a trained ML model is essential to adding intelligence to a modern application. A performant model is the output of a rigorous and diligent data science methodology. Not implementing a proper model training process can lead to high infrastructure and personnel costs [ā¦]
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This post was co-written with Robert Berger and Adine Deford from InformedIQ. InformedIQ is the leader in AI-based software used by the nationās largest financial institutions to automate loan processing verifications and consumer credit applications in real time per the lendersā policies. They improve regulatory compliance, reduce cost, and increase accuracy by decreasing human error [ā¦]
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There are many similarities between the Transformer encoder and decoder, such as their implementation of multi-head attention, layer normalization, and a fully connected feed-forward network as their final sub-layer. Having implemented the Transformer encoder, we will now go ahead and apply our knowledge in implementing the Transformer decoder as a further step toward implementing the [ā¦]
The post Implementing the Transformer Decoder from Scratch in TensorFlow and Keras appeared first on Machine Learning Mastery.
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Shared our methodology for successful Computer Vision projects. Check it out!
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Cooler weather, the changing colors of the leaves, the needless addition of pumpkin spice to just about everything, and discount Halloween candy are just some things to look forward to in the fall. GeForce NOW members can add one more thing to the list ā 25 games joining the cloud gaming library in October, including Read article >
The post Fall Into October With 25 New Games Streaming on GeForce NOW appeared first on NVIDIA Blog.
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https://lambdalabs.com/blog/inference-benchmark-stable-diffusion/
This inference benchmark of Stable Diffusion analyzes how different choices in hardware (GPU model, GPU vs CPU) and software (single vs half-precision, PyTorch vs ONNX runtime) affect inference performance in terms of speed, memory consumption, throughput, and quality of the output images.
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Last week I decided to run a simple experiment to with the new SetFit method developed by teams at Hugging Face, Intel Labs and UKP Lab.
What results can I get by spending some time labeling a few, but good quality examples of the unlabeled split of the IMDb benchmark dataset?
I was actually very impressed with the generalisation capacity of SetFit so I decided to write the tutorial below.
I think it also shows that taking some time to label good quality data can give you strong results thanks to the representation capabilities of current models.
I'd love to hear your thoughts!
https://rubrix.readthedocs.io/en/master/tutorials/few-shot-classification-with-setfit.html
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https://www.nature.com/articles/s41586-022-05172-4
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"A self-programming AI implemented using a code generation model can successfully modify its own source code to improve performance and program sub-models to perform auxiliary tasks."
Twitter discussion: https://twitter.com/nearcyan/status/1576620734146756609
Another discussion in r/singularity: https://www.reddit.com/r/singularity/comments/xtwd7k/selfprogramming_artificial_intelligence_using/
ICLR OpenReview: https://openreview.net/forum?id=SKat5ZX5RET
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Digital is the new normal, and thereās no going back. Every year, consumers visit, on average, 191 websites or services requiring a user name and password, and the digital footprint is expected to grow exponentially. So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through [ā¦]
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Content moderation is the process of screening and monitoring user-generated content online. To provide a safe environment for both users and brands, platforms must moderate content to ensure that it falls within preestablished guidelines of acceptable behavior that are specific to the platform and its audience. When a platform moderates content, acceptable user-generated content (UGC) [ā¦]
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Face-off Probability is the National Hockey Leagueās (NHL) first advanced statistic using machine learning (ML) and artificial intelligence. It uses real-time Player and Puck Tracking (PPT) data to show viewers which player is likely to win a face-off before the puck is dropped, and provides broadcasters and viewers the opportunity to dive deeper into the [ā¦]
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Thanks to earbuds, people can take calls anywhere, while doing anything. The problem: those on the other end of the call can hear all the background noise, too, whether itās the roommateās vacuum cleaner or neighboring conversations at a cafĆ©. Now, work by a trio of graduate students at the University of Washington, who spent Read article >
The post Researchers Use AI to Help Earbud Users Mute Background Noise appeared first on NVIDIA Blog.
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When not engrossed in his studies toward a Ph.D. in statistics, conducting data-driven research on AI and robotics, or enjoying his favorite hobby of sailing, Yizhou Zhao is winning contests for developers who use NVIDIA Omniverse ā a platform for connecting and building custom 3D pipelines and metaverse applications.Ā
The post Meet the Omnivore: Ph.D. Student Lets Anyone Bring Simulated Bots to Life With NVIDIA Omniverse Extension appeared first on NVIDIA Blog.
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Julien Salinas wears many hats. Heās an entrepreneur, software developer and, until lately, a volunteer fireman in his mountain village an hourās drive from Grenoble, a tech hub in southeast France. Heās nurturing a two-year old startup, NLP Cloud, thatās already profitable, employs about a dozen people and serves customers around the globe. Itās one Read article >
The post AI Esperanto: Large Language Models Read Data With NVIDIA Triton appeared first on NVIDIA Blog.
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Over the years, Iāve hosted many AI & emerging tech events and thereās one question that comes up a lot. Do I need to be an engineer orā¦
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Until the last decade, software development was a new chapter in the history of enterprise evolution. However, with time, the industry hasā¦
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Machine Learning and Data Science are two terms that have become very popular over the past few years. It is important to understand thatā¦
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Artificial intelligence (AI) has the potential to change our society, but it also raises ethical questions. The use of AI in healthcare isā¦
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In Part 7.0 of the Transfer Learning series we have discussed about Densenet pre-trained model in depth so in this series we willā¦
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Who are the most successful PhD researchers? Or more precisely people who achieved the most (in terms of citations, impact etc.) while being PhD students? If you can give examples in last say 50 years but also more recent ones say last 5 years.
Someone I noticed: Chelsea Finn
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I have a Python program which captures a pair of stereo rectified images, and I'd like to use this model to generate the disparity map. I'm unfamiliar with TensorRT and TAO, so am looking for either a high-level explanation of how it would be possible to use the model for inference within my program, or instruction on how to do so.
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/dnn_stereo_disparity
Thanks in advance!
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ā
More info at https://outsystems-ai-reading-group.github.io/
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I have asked this question about off-policy learning, in THE book (Sutton & Barto). I didn't get any replies on ai.stackechange, so I am also posting it here. I would be thankful if you could help me out. Thank you.
https://ai.stackexchange.com/questions/37258/off-policy-monte-carlo-learning-why-is-probability-of-sampling-a-trajectory-the
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Near-real-time delivery of data and insights enable businesses to rapidly respond to their customersā needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. Due to the breadth and depth of data being ingested from multiple sources, businesses look for solutions to protect [ā¦]
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Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. Creating and running a full pipeline during experimentation adds unwanted overhead and cost to the development lifecycle. In this post, we [ā¦]
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TwitchCon ā the worldās top gathering of live streamers ā kicks off Friday with the new line of GeForce RTX 40 Series GPUs bringing incredible new technology ā from AV1 to AI ā to elevate live streams for aspiring and professional Twitch creators alike.
The post Creator EposVox Shares Streaming Lessons, Successes This Week āIn the NVIDIA Studioā appeared first on NVIDIA Blog.
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The trendiest fashion styles are just in! And theyāre just one click away with the help of the latest DALL-E deep learning model!
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One-shot and few-shot learningās Siamese network implementation in Keras
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https://ai.facebook.com/blog/gpu-inference-engine-nvidia-amd-open-source/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog
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tl;dr - launching Deep Lake - the data lake for deep learning applications
Hey r/ML,
Davit here from team Activeloop. My team and I have worked for over three years on our product, and we're excited to launch the latest, most performant iteration, Deep Lake.
Deep Lake is the data lake for deep learning applications. It retains all the benefits of a vanilla data lake, with one difference. Deep Lake is optimized to store complex data, such as images, videos, annotations, embeddings, & tabular data, in the form of tensors and rapidly streams the data over the network to (1) our lightning-fast query engine: Tensor Query Language, (2) in-browser visualization engine, and (3) deep learning frameworks without sacrificing GPU utilization.
YouTube demo
Detailed Launch post
Key features
A sā¦
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Hi I'm looking for any multiagent payload transport environments publicly available for experimentation, like the one shown in here https://youtu.be/7gE_n6b5-LM
Any similar environments where the agents are required to collectively act to transport an object are very much appreciated. TIA.
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Machine learning (ML) has improved business across industries in recent yearsāfrom the recommendation system on your Prime Video account, to document summarization and efficient search with Alexaās voice assistance. However, the question remains of how to incorporate this technology into your business. Unlike traditional rule-based methods, ML automatically infers patterns from data so as to [ā¦]
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This post is a joint collaboration with Andries Engelbrecht and James Sun of Snowflake, Inc. The cloud computing revolution has enabled businesses to capture and retain corporate and organizational data without capacity planning or data retention constraints. Now, with diverse and vast reserves of longitudinal data, companies are increasingly able to find novel and impactful [ā¦]
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Amazon Elastic Compute Cloud (Amazon EC2) G5 instances are the first and only instances in the cloud to feature NVIDIA A10G Tensor Core GPUs, which you can use for a wide range of graphics-intensive and machine learning (ML) use cases. With G5 instances, ML customers get high performance and a cost-efficient infrastructure to train and [ā¦]
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The future of artificial intelligence in third world countries is one of the most important topics to be discussed today. For decadesā¦
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